Causal Learning for Decision Making (CLDM)
International Conference on Learning Representations (ICLR)
April 26, 2020
@CausalIclr · #CLDM2020
For each paper being presented at the workshop, we will host (1) the pre-recorded presentation from SlidesLive, (2) a Rocket.Chat chatroom for text-based discussion, and (3) a Zoom meeting room. All of these can be found from each paper's landing page (which you can access by clicking on the title of the relevant paper).
The Zoom meeting rooms will be open only during the poster session timeslots (see the Schedule), during which authors will join the meeting rooms to allow you to ask them questions face-to-face. We encourage you to first watch the presentation associated with the paper, and then join the Zoom meeting room to ask questions and engage in further discussion.
Oral Presentation
| Title | Authors | Zoom Links | |
|---|---|---|---|
| Optimization approaches for counterfactual risk minimization with continuous actions | Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal | ||
| Off-policy Policy Evaluation Under Unobserved Confounding | Ramtin Keramati*, Hongseok Namkoong*, Steve Yadlowsky*, Emma Brunskill |
Virtual Poster Session 1 (3:15 - 4:30am)
Virtual Poster Session 2 (6:15 - 7:30am)
| Title | Authors | Zoom Links | |
|---|---|---|---|
| Resolving Spurious Correlations in Causal Models of Environments via Interventions | Sergei Volodin, Nevan Wichers, Jeremy Nixon | Zoom | |
| Learning Group Structure and Disentangled Representations of Dynamical Environments | Robin Quessard, Thomas D. Barrett, William R. Clements | Zoom | |
| Gradient-Based Neural DAG Learning with Interventions | Philippe Brouillard, Alexandre Drouin, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien | Zoom | |
| Cycles in Causal Learning | Katie Everett, Ian Fischer | Zoom | |
| Optimization of Treatment Assignment with Generalization Guarantees | Artem Betlei, Eustache Diemert, Massih-Reza Amini | Zoom | |
| Individual Treatment Effect in Presence of Observable Interference | Thibaud Rahier, Amelie Heliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert | Zoom | |
| Unsupervised scene understanding via competition of experts | Julius von Kügelgen, Ivan Ustyuzhaninov, Peter Gehler, Matthias Bethge, Bernhard Schölkopf | Zoom | |
| Invariant Causal Prediction for Block MDPs | Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup | Zoom | |
| Causal Induction from Visual Observations for Goal Directed Tasks | Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei | Zoom | |
| Causal Modeling for Fairness in Dynamical Systems | Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel | Zoom | |
| Multi-Environment Functional Causal Models using Gaussian Processes | Vishwali Mhasawade, Rumi Chunara | Zoom | |
| Neural Causal Induction from Interventions | Nan Rosemary Ke, Danilo Rezende, Jovana Mitrović, Jane Wang, Martin Szummer | Zoom | |
| Human dynamic control under changing goals | Zachary J Davis, Neil R Bramley, Bob Rehder, Todd Gureckis | Zoom | |
| Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders | Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi | Zoom |
Virtual Poster Session 3 (10:40 - 11:30am)
| Title | Authors | Zoom Links | |
|---|---|---|---|
| Resolving Spurious Correlations in Causal Models of Environments via Interventions | Sergei Volodin, Nevan Wichers, Jeremy Nixon | Zoom | |
| Gradient-Based Neural DAG Learning with Interventions | Philippe Brouillard, Alexandre Drouin, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien | Zoom | |
| Out-of-Distribution Generalization via Risk Extrapolation | David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Rémi Le Priol, Jonathan Binas, Amy Zhang, Aaron Courville | Zoom | |
| Cycles in Causal Learning | Katie Everett, Ian Fischer | Zoom | |
| Towards intervention-centric causal reasoning in learning agents | Benjamin Lansdell | Zoom | |
| Invariant Causal Prediction for Block MDPs | Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup | Zoom | |
| Causal Induction from Visual Observations for Goal Directed Tasks | Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei | Zoom | |
| Causal Modeling for Fairness in Dynamical Systems | Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel | Zoom | |
| Neural Causal Induction from Interventions | Nan Rosemary Ke, Danilo Rezende, Jovana Mitrović, Jane Wang, Martin Szummer | Zoom | |
| Learning transferable task schemas by representing causal invariances | Tamas Madarasz, Timothy E. Behrens | Zoom |